The bench scientist's guide to statistical analysis of RNA-Seq data
1 USDA ARS Global Change and Photosynthesis Research Unit, 1201 W. Gregory Drive, Urbana, IL 61801, USA
2 Department of Plant Biology, University of Illinois, Urbana-Champaign, Urbana, IL, 61801, USA
3 Roy J. Carver Biotechnology Center, University of Illinois, Urbana-Champaign, Urbana, IL, 61801, USA
4 Current Address: Bioinformatics Core, Discovery Park, Purdue University, West Lafayette, IN, 47907, USA
BMC Research Notes 2012, 5:506 doi:10.1186/1756-0500-5-506Published: 14 September 2012
Additional file 1:
RNA quality assessment. Five μg of total RNA for each sample was run on a 1% agarose gel. See Table 1 for description of sample number treatment.
Format: TIFF Size: 4.9MB Download file
Additional file 2:
R software code. R software code used to analyze differential expression of the mapping file using edgeR and DESeq.
Format: PDF Size: 93KB Download file
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Additional file 3:
Mapping file. Excel file consisting of raw reads mapped to the soybean reference transcriptome.
Format: TXT Size: 1.5MB Download file